https://github.com/germa89/machine_learning_for_damage_detection_in_rolling_bearings

Machine learning algorithms for damage detection in rolling bearings. #WorkInProgress
https://github.com/germa89/machine_learning_for_damage_detection_in_rolling_bearings

Last synced: 4 days ago
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Machine learning algorithms for damage detection in rolling bearings. #WorkInProgress

• Host: GitHub
• URL: https://github.com/germa89/machine_learning_for_damage_detection_in_rolling_bearings
• Owner: germa89
• License: cc0-1.0
• Created: 2020-03-13T16:55:58.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2024-07-06T11:36:04.000Z (6 months ago)
• Last Synced: 2024-11-26T05:20:25.540Z (about 1 month ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 26.8 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# ML_for_Damage_detection_in_rolling_bearing

Machine learning algorithms for damage detection in rolling bearings. 

Based on:

A.P. Daga, A. Fasana, S. Marchesiello, L. Garibaldi, The Politecnico di Torino rolling bearing test rig: Description and analysis of open access data, *Mechanical Systems and Signal Processing* 120 (2019) 252–273. doi:10.1016/j.ymssp.2018.10.010.

This is work in progress. 

**Please visit the notebook:** [**Machine Learning for Damage Identification on Rolling Bearings**](https://github.com/germa89/Machine_Learning_for_damage_detection_in_rolling_bearings/blob/master/Machine%20Learning%20for%20Damage%20Identification%20on%20Rolling%20Bearings.ipynb) 

The author do not assume any liability or provide any warranty implicit or explicit.